(semi-final version) v8.0 - slidyreplay CPU-only standalone .exe (Windows)

Changes 7.0 -> 8.0

• Full image rendering support in GUI, more color scheme options, cursor dancing animations, movetimes upload from file, custom font and font size settings, fixed various minor bugs, improved GUI.

At this point, I added all the major features I wanted (with the exception of batch processing improvements
I might come back to this in the future. But unless I get some new inspiration of notice some bugs, I'm done for now with this project.
Also GUI is yet to be tested on Linux, there might be some issues with the fonts and other things, but CLI worked few versions ago at least.

Known issues

• Font size on low resolution still requires fixes, make sure to render in higher resolution for big puzzles (2K for 30x30 and above). I might work on this issue later, but I'm not sure if it can be reliably fixed, might just be the limitation of existing rendering method. Always try to render in high quality for big puzzles if your PC can handle it, or try different font/size combination.

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v7.0 - slidyreplay CPU-only standalone .exe (Windows)

Changes 6.0 -> 7.0

• More GUI improvements, customizable rainbow color schemes, puzzle preview, fixed TPS override resolution issues and other minor bugs, added full support for rows and columns and other color scheme related tweaks, also added animation option (not enabled by default). Added --image flag (not yet in GUI) to generate puzzle images.

Known issues

• Font size on low resolution still requires fixes, make sure to render in higher resolution for big puzzles (2K for 30x30 and above).
• Some strange CPU spikes on Idle were noticed in the GUI, I will look into that issue later.

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v6.0 - slidyreplay CPU-only standalone .exe (Windows)

Changes 5.1 -> 6.0

• Reworked GUI, added queue system, added experimental cycles detection, various new parameters, such as custom tile colors, rows/columns color schemes, and some layout options. Fixed replay overrides edge cases and other minor bugs.

Known issues

• Font size on low resolution still requires fixes, make sure to render in higher resolution for big puzzles (2K for 30x30 and above).
• Some strange CPU spikes on Idle were noticed in the GUI, I will look into that issue later.

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v5.1 - slidyreplay CPU-only standalone .exe (Windows)

Changes 5.0 -> 5.1

• Fixed font size issues and added more encoder options, fixed GPU detection, added 2K upscale option.

Known issues

• Font size on low resolution still requires fixes, make sure to render in higher resolution for big puzzles (2K for 30x30 and above).

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v5.0 - slidyreplay CPU-only standalone .exe (Windows)

Changes 4.0 -> 5.0

• Improved quality system and reworked layout system, also fixed various memory issues, now you can generate big replays properly

Known issues

• Font size is much bigger now, I will add options for smaller size later

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v4.0 - slidyreplay CPU-only standalone .exe (Windows)

Changes 3.1 -> 4.0

• Optimized CPU rendering significantly, now as fast as GPU at the moment, fixed memory errors and progress bars.

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v3.1 - slidyreplay CPU-only standalone .exe (Windows)

Changes 3.0 -> 3.1

• Optimized CPU rendering, now does HW encoding even without CUDA etc. (if available)
• Much faster pre-render stages, which improves big puzzle replays

Known issues

• Consider that a beta version, not stable
• As of 3.1, not all optimizations were properly implemented, especially in the CPU renderer, so even on short replays it is still much slower than full GPU version
• Progress bars are currently broken
• Memory issues when trying to render something longer than a minute (like normal 20x20 solve)

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v3.0 - slidyreplay CPU-only standalone .exe (Windows)

Changes 2.1 -> 3.0

• Optimized CPU rendering, pre-render stages, tile size, and other minor issues
• More useful options for replays (no layout mode / no numbers / border)
• Fixed major windows exe build issues

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v2.1.0 - CPU-only standalone .exe (Windows)

Changes 2.0 -> 2.1

• Optimized CPU rendering
• Optimized batch rendering and fix bugs related to batch rendering

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link

v2.0.0 - CPU-only standalone .exe (Windows)

Usage

• Includes both a GUI and a CLI interface
• Double-click the executable to launch the GUI, see the repository for CLI usage examples.

Notes

• GPU acceleration is not available in this build (no CUDA/PyTorch bundled).
• For GPU support, clone the repository and use main.py.
• Make sure python, all dependencies, and CUDA are installed for your GPU.
• For easy GPU support, you can try Google Collab link